• DocumentCode
    849400
  • Title

    A Study of Self-Organized Criticality of Power System Under Cascading Failures Based on AC-OPF With Voltage Stability Margin

  • Author

    MEI, Shengwei ; Ni, Yixin ; Wang, Gang ; Wu, Shengyu

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • Volume
    23
  • Issue
    4
  • fYear
    2008
  • Firstpage
    1719
  • Lastpage
    1726
  • Abstract
    From the perspective of self-organized criticality, this paper develops a novel model with AC-OPF and AC grid upgrade to study the cascading failures and blackouts in power systems, which overcomes some shortcomings of existing blackout models. The proposed model contains two types of dynamics, one is fast dynamics which simulates the serial blackouts in power systems, the other is slow dynamics which reflects the tendency of the power systems time evolution. This model also has voltage stability analysis function and can reveal critical characteristics from reactive power and voltage viewpoint. Simulation results of the IEEE 118-bus system with this model show that the fast dynamics can capture the cascading process and the criticality property in micro scale. Besides, the macro scale of self-organized criticality of power systems can be revealed from the mean value of fractional overloads and the ratio of total load demand to the total network transfer capability. Furthermore, the voltage stability criticality status could be detected from the eigenvalue with the smallest magnitude through reactive power and voltage relevant modal analysis.
  • Keywords
    eigenvalues and eigenfunctions; load flow; modal analysis; power grids; power system stability; IEEE 118-bus system; cascading failures; eigenvalue; modal analysis; network transfer capability; optimal power flow; power system blackout; power systems time evolution; reactive power; voltage stability margin; Blackout model; cascade failures; optimal power flow; self-organized criticality; voltage stability;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.2002295
  • Filename
    4609941